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Florian BRUNIAUX 89084c89ec docs: integrate Anthropic 2026 Agentic Coding Trends Report 
Integration strategy: diffusion transversale (~450 lines across 5 files)
instead of monolithic Section 9.21 (rejected after technical-writer review).

Evaluation: 4/5 score (high value, but lacks concrete code examples)
Source: https://resources.anthropic.com/hubfs/2026%20Agentic%20Coding%20Trends%20Report.pdf

Changes:
1. Created evaluation report (docs/resource-evaluations/)
   - Summary, gap analysis, challenge results, fact-check
   - Justification: validation industrie, benchmarks, anti-patterns

2. Modified guide/ultimate-guide.md (3 insertions, ~270 lines)
   - Section 9 intro: Industry context encadré with adoption data
   - Section 9.17 Multi-Instance: ROI benchmarks ($500-1K/month validation)
   - Section 9.11: Enterprise Anti-Patterns section (5 detailed patterns)

3. Modified guide/workflows/agent-teams.md (~80 lines)
   - Industry adoption data with case studies
   - Timeline: 3-6 months, success rates by phase
   - Real-world performance metrics (Fountain 50%, Rakuten 7h, TELUS 500K hours)

4. Modified machine-readable/reference.yaml (~40 lines)
   - Added agentic_trends_2026_* metadata section
   - Research data, case studies, benchmarks, anti-patterns references

5. Modified README.md (~8 lines)
   - Added "Research & Industry Reports" section
   - Link to Anthropic report with evaluation details

Stats validated: 60% AI usage, 0-20% full delegation, 67% more PRs/day,
27% new work, 7 case studies (Fountain, Rakuten, CRED, TELUS, Legora, Zapier, Augment).

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-09 17:18:52 +01:00
..
claude-code-releases.yaml docs: update Claude Code releases to v2.1.37 2026-02-08 11:25:05 +01:00
cowork-reference.yaml docs: complete Cowork documentation v1.0 (Phase 2) 2026-01-20 11:23:43 +01:00
llms.txt feat: add ecosystem positioning, install script & new commands 2026-01-19 08:42:33 +01:00
README.md refactor: restructure repo into thematic directories v3.1.0 2026-01-13 15:30:02 +01:00
reference.yaml docs: integrate Anthropic 2026 Agentic Coding Trends Report 2026-02-09 17:18:52 +01:00

README.md

Machine-Readable References

Files optimized for LLM/AI consumption.

Contents

File Description Tokens
reference.yaml Structured index with line numbers for deep dives ~2K
llms.txt Standard LLM context file for repository indexation ~1.5K

Usage

Give Claude Code instant expertise

# Paste into any AI assistant
curl -sL https://raw.githubusercontent.com/FlorianBruniaux/claude-code-ultimate-guide/main/machine-readable/reference.yaml

Reference in Claude Code

@machine-readable/reference.yaml

Add to system prompts

Include the YAML content in your AI assistant's system prompt for Claude Code expertise.

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